Duration: 30 mins

<p style="font-family: helvetica,arial,sans-serif; font-size:1.6em;color:black; background-color: #DDDDDD; text-align:justify""> Level: Intermediate        Pre-requisite Skills: Python

New Business Location (Cafe or Restaurant)

As a Cafe, Restaurant or Bar, I am looking for commercial space in the City of Melbourne where I can open a new venue or extend my existing venue.

I would like to know where similar businesses are located and the density of residents and office workers in comparison.

I want to know the number of seats I should provide based on seating capacity at other similar establishments in the same area and understand how this may have changed over time.

If on street or off-street parking is available nearby this may help me decide where to locate my venue.

What this Use Case will teach you

At the end of this use case you will:

A brief introduction to CLUE data

The City of Melbourne conducts a bi-annual comprehensive survey of its residents and businesses called the "Census of Land Use and Employment (CLUE)". CLUE captures key information on land use, employment, and economic activity across the City of Melbourne.

CLUE datasets are a valuable tool for businesses looking to invest in the City of Melbourne and researchers wanting to understand those factors that influence and shape the dynamics of Australia's second largest metropolis and one of the world's most liveable cities.

CLUE data assists the City of Melbourne's business planning, policy development and strategic decision making. Investors, consultants, students, urban researchers, property analysts, businesses and developers can take advantage of CLUE to understand customers, the marketplace and the changing form and nature of the city.

Source: CLUE ( https://data.melbourne.vic.gov.au/stories/s/CLUE/rt3z-vy3t?src=hdr )

This use case makes extensive use of various CLUE datasets to illustrate the value to Data Scientists, Researchers and Software Developers.

CLUE Geospatial Data

CLUE Data is often coded to a specific location (Latitude and Longitude) and/or to a City precinct, referred to as the "CLUE small area". Datasets may also include the individual city block within a precinct referred to by its CLUE Block ID.

The geospatial coordinates describing these areas as polygons can be downloaded in GeoJSON format and used to show shaded areas on a map, known as a choropleth map. This can be a useful technique for illustrating broad trends or statistics for a city area rather than a specific location.

A map visualisation of CLUE Blocks and small areas can be found at the following links:

Which CLUE data should I use?